Kian-Ping Lim () (Labuan School of International Business and Finance, Universiti Malaysia Sabah) Melvin J. Hinich () (Applied Research Laboratories, University of Texas at Austin)
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This study utilizes the Hinich portmanteau bicorrelation test in conjunction with the windowed testing procedure to examine the cross-temporal universality of non-linear dependencies in the returns series for Asian stock market indices. As a whole, the detected non-linear dependencies do not appear to be persistent or stable across time for all the stock markets. In particular, the underlying process is of a switching type, with the pure noise process from time to time switches to a non-linear dependent stochastic process for some unknown length of time, and then switches back to pure-noise. This provides a plausible explanation for the disappointing forecasting performance of many non-linear models, as these existing models do not take note of the episodic transient nature of the non-linear dependency structures.
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Article provided by Economics Bulletin in its journal Economics Bulletin.
Find related papers by JEL classification: G1 - Financial Economics - - General Financial Markets C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
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